-
TurboPixels64
This is a beta version of the superpixel code. It hasn t been
thoroughly tested on different architectures. It was tested on
a Linux system with Matlab 7.1, with gcc and g++ compilers.
(The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials , in Proceedings of the 8th ECCV04, Workshop
This is a beta version of the superpixel code. It hasn t been
thoroughly tested on different architectures. It was tested on
a Linux system with Matlab 7.1, with gcc and g++ compilers.
)
- 2015-01-17 21:13:39下载
- 积分：1
-
dct
Compress DCT picture . It very usefull for who learning about image processsing
- 2010-01-02 13:39:31下载
- 积分：1
-
prioriposterioripowersubtractionalgo
Algorithm to improve the quality of speech signals by improving the SNR
- 2012-06-10 21:47:52下载
- 积分：1
-
zhouchengguzhangzhenduan
分形学习进行轴承故障诊断及各个震动数据的数据降维的方法(Fractal study conducted bearing fault diagnosis and the various vibration data dimensionality reduction method)
- 2020-11-26 10:29:31下载
- 积分：1
-
gold_code_gen
Communication modeling for Gold code
- 2009-11-04 22:02:00下载
- 积分：1
-
et_04
计量经济学中的ＴＡＲ模型，对门限阀整非常有用(TAR models in econometrics door limit valve entire useful)
- 2013-04-12 10:04:06下载
- 积分：1
-
56881_210197_41912
各型分布随机数的产生算法，用matlab可以实现。可以(Various types of distribution of the generated random number algorithm, can be achieved using matlab. Can)
- 2008-04-10 21:05:22下载
- 积分：1
-
ddc_simu
ddc simulation 进行DDC实现过程的仿真(ddc simulation DDC realization process for the simulation)
- 2007-05-04 15:41:29下载
- 积分：1
-
Extended-Kalman-Filter-(EKF)
Introduction to Extended Kalman Filter
- 2013-11-04 19:11:16下载
- 积分：1
-
MIMRF-master
说明： 每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。
多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)
- 2021-03-27 10:59:12下载
- 积分：1
